noteplan_embeddings

Embeddings/vector search operations.\n\nActions:\n- status: Get embeddings config and index status\n- search: Semantic search over index (requires query)\n- sync: Build/refresh embeddings index\n- reset: Delete index rows (requires dryRun/confirmationToken)

Server Noteplan @noteplanco/noteplan-mcp
Category Destructive
Risk class Critical
Parameters 00 required

What noteplan_embeddings does on Noteplan

AI agents call noteplan_embeddings to permanently remove resources in Noteplan — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.

Why noteplan_embeddings needs a policy

An AI agent that decides to call noteplan_embeddings doesn't hesitate, doesn't double-check, and doesn't stop at one. Whatever it removes from Noteplan is gone — there is no undo for destructive operations.

Questions about noteplan_embeddings

What does the noteplan_embeddings tool do? +

Embeddings/vector search operations.\n\nActions:\n- status: Get embeddings config and index status\n- search: Semantic search over index (requires query)\n- sync: Build/refresh embeddings index\n- reset: Delete index rows (requires dryRun/confirmationToken). It is categorised as a Destructive tool in the Noteplan MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.

How do I enforce a policy on noteplan_embeddings? +

Register the Noteplan MCP server in PolicyLayer and add a rule for noteplan_embeddings: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Noteplan. Nothing to install.

What risk level is noteplan_embeddings? +

noteplan_embeddings is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit noteplan_embeddings? +

Yes. Add a rate_limit block to the noteplan_embeddings rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block noteplan_embeddings completely? +

Set action: deny in the PolicyLayer policy for noteplan_embeddings. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides noteplan_embeddings? +

noteplan_embeddings is provided by the Noteplan MCP server (@noteplanco/noteplan-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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